# TraeSkill **Repository Path**: yjinit/TraeSkill ## Basic Information - **Project Name**: TraeSkill - **Description**: https://github.com/boshi-xixixi/TraeSkill - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-02-01 - **Last Updated**: 2026-02-01 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # TraeSkill
![Trae Native](https://img.shields.io/badge/Trae-Native-blue?style=for-the-badge) ![AI Powered](https://img.shields.io/badge/AI-Powered-purple?style=for-the-badge) ![License](https://img.shields.io/badge/license-MIT-green?style=for-the-badge) **Native AI Skills and Context Enhancement Library for Trae IDE** [English](README_EN.md) | [δΈ­ζ–‡](README.md)
--- > πŸš€ **Upgrade Notice** > > Looking for a more general version? Check out our brand new **[AgenticFlow-Skills](https://github.com/your-username/agenticflow-skills)** project. > AgenticFlow-Skills inherits the core capabilities of TraeSkill and extends support for **Cursor**, **VS Code**, and **Windsurf**. It is a new generation of **Standardized AI Skill Library**. --- ## πŸ“– Introduction **TraeSkill** is a standardized collection of **Prompt Context** and **AI Skills** designed to inject industry best practices into AI-assisted programming workflows through Trae IDE's `.trae/Skills` mechanism. **πŸ’‘ Quick Links**: - **[Common Development Skills & Scenarios Guide](./DEVELOPER_SKILLS_GUIDE.md)**: Recommended for beginners to quickly master the usage of skills at each stage. - **[Natural Language Activation Guide](./NATURAL_LANGUAGE_GUIDE.md)**: Learn how to efficiently trigger expert roles through natural language. When using this library in Trae, the AI is no longer a generic chatbot but instantly transforms into an expert partner proficient in **React Performance Optimization**, **Flutter Architecture Design**, **Product Requirement Analysis**, and **Automated Testing**. ## 🌟 Core Capabilities This repository contains verified engineering prompts and context rules covering the entire software development lifecycle: ### 🧠 Product & Design - **Product Manager**: Professional PRD generation, user story decomposition, and brainstorming guidance. - **UI/UX Designer**: Frontend implementation specifications based on component libraries and Web design guidelines. ### πŸ— Architecture & Backend - **System Architect**: Domain-Driven Design (DDD), RESTful/GraphQL API design specifications. - **Backend Engineering**: Node.js and Python server-side patterns, database migration strategies, SQL performance optimization. ### πŸ’» Frontend & Mobile - **React Specialist**: Deeply integrated React rendering optimization, Hooks best practices, and state management strategies. - **Flutter Expert**: Flutter Clean Architecture, performance analysis, and state management. ### πŸ›‘ Quality Assurance - **Testing Automation**: Browser automation testing patterns based on Playwright/Selenium. - **Security**: Security requirement extraction and code auditing rules. ## πŸ”§ How it Works TraeSkill leverages Trae IDE's native **Skills** feature. All rule files are located in the `.trae/Skills` directory. When you open this project in Trae or configure it as a global skill, Trae's AI Agent automatically indexes these Markdown files and retrieves and applies rules from `03_Developer_ReactBestPractices` when you ask related questions (e.g., "optimize this React component"). ## πŸ“¦ Quick Start 1. **Clone Repository**: ```bash git clone https://github.com/your-username/TraeSkill.git ``` 2. **Open in Trae**: Open this folder directly with Trae. 3. **Start Conversation**: Try asking AI: "Help me design an API for a user login system" or "Check the rendering performance of this code." ## πŸ” Keywords Trae IDE, AI Skills, Prompt Engineering, Context Management, React Best Practices, Flutter Architecture, Automated Testing, System Design, AI Agent. ## πŸ“„ License MIT License